Application of Max-Min Ant System and Rough Sets to Compound Fault Diagnosis of Bearing
Pla Siping · 2010
An attribute reduction algorithm of rough set is put forward on the basis of the analysis of bearing vibration signals.The worst Fisher criterion was adopted as heuristic information to improve the searching efficiency and the max-min ant system was selected for the condition attribute reduction in the compound fault of a bearing in a gearbox.Considering the classification accuracy and the number of the condition attribute,the fault diagnosis decision table was simplified by using the rough sets theory.The results show that the method can markedly raise the efficiency of bearing fault diagnosis.